RUSIRU FERNANDO

AI Engineer

https://www.opentalent.in/rusiru-fernando

AI Engineer with less than a year in Machine Learning & Deep Learning

Key Strengths

Strong foundational knowledge in AI/ML, deep learning, NLP, and time series forecasting demonstrated through academic projects.
Proficiency in Python, FastAPI, and MongoDB for building and deploying end-to-end AI systems.
Experience with prompt engineering and integrating large language models (Google Gemini API) for intelligent applications.
Capability in full-stack AI development, including backend microservices and frontend integration (React, Streamlit).
Focus on experiment-driven development and model optimization, as highlighted in professional capabilities.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's academic projects showcase a diverse application of AI/ML across different domains (education, tourism, agriculture, content generation), indicating adaptability and a broad interest in impactful AI solutions. The target role of 'AI Engineer' aligns well with the candidate's project experience in building and deploying end-to-end AI systems. The breadth of skills, including full-stack components, suggests a versatile individual who could contribute to various aspects of an AI product lifecycle.

Soft Skills & Operational Fit

The candidate demonstrates strong technical communication skills through detailed project descriptions. The emphasis on 'experiment-driven development' and 'production-oriented ML development' suggests a proactive and results-oriented work attitude. However, without psychometric test results, a comprehensive assessment of stress handling and team collaboration is not possible.

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About

Results-driven Data Science undergraduate majoring in Machine Learning and AI, experienced in developing end-to-end AI systems. Proficient in all aspects of the ML development lifecycle, including feature engineering and deployment using FastAPI, TensorFlow, and cloud APIs. Skilled in NLP, deep learning, time series prediction, and computer vision, with a focus on real-world applications across various industries. Demonstrates strong backend development and frontend integration capabilities for full-stack AI applications. Passionate about experiment-driven development and seeks an organization committed to innovation and impactful AI.

Top Skills

Machine LearningDeep LearningPythonFastapiNlp

Education

Sri Lanka Institute of Information Technology (SLIIT)

BSc (Hons) · Information Technology – Data Science Specialization

N/A – June 30, 2026

Esoft Metro Campus

Diploma · Information Technology

N/A – Present

Projects

AI Thumbnail Generator (PictoAI)

January 1, 2026 – January 1, 2026

Built AI-powered thumbnail generation platform with customizable templates and cloud-based processing. Optimized prompts for consistent, high-quality visual outputs and scalable usage.

Adaptive Exam Preparation AI System

October 1, 2025 – October 1, 2025

Architected three-agent AI system (Planner, Quiz Generator, Performance Tracker) using FastAPI microservices with MongoDB, enabling personalized study plans and adaptive quiz difficulty. Implemented end-to-end security framework including session authentication, password hashing, input validation, TLS connections, and subscription-based access control (Free vs Premium). Engineered intelligent quiz generation using Google Gemini API with NLP key-point extraction and dynamic prompt engineering to create contextualized questions adapted to student performance.

Sri Lanka Tourism Intelligence & Forecasting Platform

January 1, 2025 – January 1, 2025

Built an end-to-end time-series forecasting pipeline using XGBoost and LSTM, reducing test RMSE from 73,729 to 39,473 and MAE from 48,944 to 32,897 through model selection and tuning. Performed feature engineering and seasonality decomposition, created lag features, and evaluated models using RMSE and MAE to improve forecast accuracy. Developed an interactive Streamlit + Plotly dashboard to visualize forecasts, KPIs, and model performance for business decision-making.

Plant Disease Classification Web Application

January 1, 2025 – January 1, 2025

Designed and trained a deep CNN model on the PlantVillage dataset, achieving 97.92% test accuracy with a 0.0667 loss across multiple plant disease classes. Implemented full ML pipeline: preprocessing, augmentation, train/val/test split, evaluation. Deployed via FastAPI with React frontend for real-time disease prediction with confidence scores. Enabled fast, accurate plant disease detection for farmers and researchers.

Certifications

R Programming for Beginners

Simplilearn

January 1, 2026 – Present

Power BI for Beginners

Simplilearn

January 1, 2025 – Present

Introduction to Prompt Engineering

Simplilearn

January 1, 2025 – Present

Key Strengths

Strong foundational knowledge in AI/ML, deep learning, NLP, and time series forecasting demonstrated through academic projects.
Proficiency in Python, FastAPI, and MongoDB for building and deploying end-to-end AI systems.
Experience with prompt engineering and integrating large language models (Google Gemini API) for intelligent applications.
Capability in full-stack AI development, including backend microservices and frontend integration (React, Streamlit).
Focus on experiment-driven development and model optimization, as highlighted in professional capabilities.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit